A Study of Recently Discovered Equalities about Latent Tree Models Using Inverse Edges. - Nevin Lianwen Zhang; Xiaofei Wang; Peixian Chen (Probabilistic Graphical Models, 2014)

Hierarchical Latent Tree Analysis for Topic Detection. - Tengfei Liu; Nevin Lianwen Zhang; Peixian Chen (ECML/PKDD (2), 2014)

An Evidence-Based Approach to Patient Classification in Traditional Chinese Medicine based on Latent Tree Analysis. - Nevin Lianwen Zhang; Chen Fu; Tengfei Liu; Kin Man Poon; Peixian Chen; Bao Xin Chen; Yun Ling Zhang (CoRR, 2014)

Bayesian adaptive matrix factorization with automatic model selection. - Peixian Chen; Naiyan Wang; Nevin L. Zhang; Dit-Yan Yeung (CVPR, 2015)

Greedy learning of latent tree models for multidimensional clustering. - Tengfei Liu; Nevin Lianwen Zhang; Peixian Chen; April Hua Liu; Leonard K. M. Poon; Yi Wang 006 (Mach. Learn., 2015)

Progressive EM for Latent Tree Models and Hierarchical Topic Detection. - Peixian Chen; Nevin L. Zhang; Leonard K. M. Poon; Zhourong Chen (AAAI, 2016)

Latent Tree Models for Hierarchical Topic Detection. - Peixian Chen; Nevin L. Zhang; Tengfei Liu; Leonard K. M. Poon; Zhourong Chen (CoRR, 2016)

Sparse Boltzmann Machines with Structure Learning as Applied to Text Analysis. - Zhourong Chen; Nevin L. Zhang; Dit-Yan Yeung; Peixian Chen (AAAI, 2017)

Topic Browsing System for Research Papers Based on Hierarchical Latent Tree Analysis. - Leonard K. M. Poon; Chun Fai Leung; Peixian Chen; Nevin L. Zhang (APWeb/WAIM (2), 2017)

Latent tree models for hierarchical topic detection. - Peixian Chen; Nevin L. Zhang; Tengfei Liu; Leonard K. M. Poon; Zhourong Chen; Farhan Khawar (Artif. Intell., 2017)

Document Generation with Hierarchical Latent Tree Models. - Peixian Chen; Zhourong Chen; Nevin L. Zhang (CoRR, 2017)

A Novel Document Generation Process for Topic Detection Based on Hierarchical Latent Tree Models. - Peixian Chen; Zhourong Chen; Nevin L. Zhang (ECSQARU, 2019)

Video-based Person Re-identification with Two-stream Convolutional Network and Co-attentive Snippet Embedding. - Peixian Chen; Pingyang Dai; Qiong Wu 012; Yuyu Huang (CoRR, 2019)

Dual Distribution Alignment Network for Generalizable Person Re-Identification. - Peixian Chen; Pingyang Dai; Jianzhuang Liu; Feng Zheng; Qi Tian 001; Rongrong Ji (CoRR, 2020)

Learning Task-oriented Disentangled Representations for Unsupervised Domain Adaptation. - Pingyang Dai; Peixian Chen; Qiong Wu 012; Xiaopeng Hong; Qixiang Ye; Qi Tian 001; Rongrong Ji (CoRR, 2020)

Dual Distribution Alignment Network for Generalizable Person Re-Identification. - Peixian Chen; Pingyang Dai; Jianzhuang Liu; Feng Zheng; Mingliang Xu 001; Qi Tian 001; Rongrong Ji (AAAI, 2021)

Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID. - Peixian Chen; Wenfeng Liu; Pingyang Dai; Jianzhuang Liu; Qixiang Ye; Mingliang Xu 001; Qi'an Chen; Rongrong Ji (ICCV, 2021)

Aha! Adaptive History-driven Attack for Decision-based Black-box Models. - Jie Li 052; Rongrong Ji; Peixian Chen; Baochang Zhang 001; Xiaopeng Hong; Ruixin Zhang; Shaoxin Li 001; Jilin Li; Feiyue Huang; Yongjian Wu 001 (ICCV, 2021)

Deep adversarial data augmentation with attribute guided for person re-identification. - Qiong Wu 012; Pingyang Dai; Peixian Chen; Yuyu Huang (Signal Image Video Process., 2021)

ARM: Any-Time Super-Resolution Method. - Bohong Chen 001; Mingbao Lin; Kekai Sheng; Mengdan Zhang; Peixian Chen; Ke Li 015; Liujuan Cao; Rongrong Ji (ECCV (19), 2022)

Efficient Decoder-Free Object Detection with Transformers. - Peixian Chen; Mengdan Zhang; Yunhang Shen; Kekai Sheng; Yuting Gao; Xing Sun 001; Ke Li 015; Chunhua Shen (ECCV (10), 2022)

Open Vocabulary Object Detection with Proposal Mining and Prediction Equalization. - Peixian Chen; Kekai Sheng; Mengdan Zhang; Yunhang Shen; Ke Li 015; Chunhua Shen (CoRR, 2022)

Disentangling Task-Oriented Representations for Unsupervised Domain Adaptation. - Pingyang Dai; Peixian Chen; Qiong Wu 012; Xiaopeng Hong; Qixiang Ye; Qi Tian 001; Chia-Wen Lin; Rongrong Ji (IEEE Trans. Image Process., 2022)

Multi-modal Queried Object Detection in the Wild. - Yifan Xu 008; Mengdan Zhang; Chaoyou Fu; Peixian Chen; Xiaoshan Yang; Ke Li 015; Changsheng Xu (NeurIPS, 2023)

Two-Stage Anomaly Detection in LEO Satellite Network. - Yipeng Wang 022; Peixian Chen; Shan Ai; Weipeng Liang; Binjie Liao; Weichuan Mo; Heng Wang (SciSec, 2023)

MME: A Comprehensive Evaluation Benchmark for Multimodal Large Language Models. - Chaoyou Fu; Peixian Chen; Yunhang Shen; Yulei Qin; Mengdan Zhang; Xu Lin; Zhenyu Qiu; Wei Lin 004; Jinrui Yang; Xiawu Zheng; Ke Li 015; Xing Sun 001; et al. (CoRR, 2023)

A Challenger to GPT-4V? Early Explorations of Gemini in Visual Expertise. - Chaoyou Fu; Renrui Zhang; Zihan Wang; Yubo Huang; Zhengye Zhang; Longtian Qiu; Gaoxiang Ye; Yunhang Shen; Mengdan Zhang; Peixian Chen; Sirui Zhao; Shaohui Lin; et al. (CoRR, 2023)

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation. - Sichen Chen; Yingyi Zhang; Siming Huang; Ran Yi; Ke Fan; Ruixin Zhang; Peixian Chen; Jun Wang; Shouhong Ding; Lizhuang Ma (CVPR, 2024)

Aligning and Prompting Everything All at Once for Universal Visual Perception. - Yunhang Shen; Chaoyou Fu; Peixian Chen; Mengdan Zhang; Ke Li 015; Xing Sun 001; Yunsheng Wu; Shaohui Lin; Rongrong Ji (CVPR, 2024)

Cantor: Inspiring Multimodal Chain-of-Thought of MLLM. - Timin Gao; Peixian Chen; Mengdan Zhang; Chaoyou Fu; Yunhang Shen; Yan Zhang 109; Shengchuan Zhang; Xiawu Zheng; Xing Sun 001; Liujuan Cao; Rongrong Ji (ACM Multimedia, 2024)

Multimodal Inplace Prompt Tuning for Open-set Object Detection. - Guilin Li; Mengdan Zhang; Xiawu Zheng; Peixian Chen; Zihan Wang; Yunhang Shen; Mingchen Zhuge; Chenglin Wu; Fei Chao 001; Ke Li 015; Xing Sun 001; Rongrong Ji (ACM Multimedia, 2024)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. - Chaoyou Fu; Yuhan Dai; Yondong Luo; Lei Li; Shuhuai Ren; Renrui Zhang; Zihan Wang; Chenyu Zhou; Yunhang Shen; Mengdan Zhang; Peixian Chen; Yanwei Li; et al. (CoRR, 2024)

VEGA: Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. - Chenyu Zhou; Mengdan Zhang; Peixian Chen; Chaoyou Fu; Yunhang Shen; Xiawu Zheng; Xing Sun 001; Rongrong Ji (CoRR, 2024)

Attack and defense simulation platform for satellite networks based on Mininet. - Weipeng Liang; Binjie Liao; Peixian Chen; Yipeng Wang 022; Shan Ai; Yu Wang; Teng Huang; Jianwei He (Int. J. Comput. Sci. Eng., 2024)

Video-MME: The First-Ever Comprehensive Evaluation Benchmark of Multi-modal LLMs in Video Analysis. - Chaoyou Fu; Yuhan Dai; Yongdong Luo; Lei Li; Shuhuai Ren; Renrui Zhang; Zihan Wang; Chenyu Zhou; Yunhang Shen; Mengdan Zhang; Peixian Chen; Yanwei Li; et al. (CVPR, 2025)

Learning Interleaved Image-Text Comprehension in Vision-Language Large Models. - Chenyu Zhou; Mengdan Zhang; Peixian Chen; Chaoyou Fu; Yunhang Shen; Xiawu Zheng; Xing Sun 001; Rongrong Ji (ICLR, 2025)

Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context Accuracy. - Yunhang Shen; Chaoyou Fu; Shaoqi Dong; Xiong Wang; Yifan Zhang 004; Peixian Chen; Mengdan Zhang; Haoyu Cao 001; Ke Li 015; Xiawu Zheng; Yan Zhang 109; Yiyi Zhou; et al. (CoRR, 2025)

VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model. - Zuwei Long; Yunhang Shen; Chaoyou Fu; Heting Gao; Lijiang Li; Peixian Chen; Mengdan Zhang; Hang Shao; Jian Li 062; Jinlong Peng; Haoyu Cao 001; Ke Li 015; et al. (CoRR, 2025)

Zooming from Context to Cue: Hierarchical Preference Optimization for Multi-Image MLLMs. - Xudong Li; Mengdan Zhang; Peixian Chen; Xiawu Zheng; Yan Zhang 109; Jingyuan Zheng; Yunhang Shen; Ke Li 015; Chaoyou Fu; Xin Sun 003; Rongrong Ji (CoRR, 2025)